Benedikt Pfülb

A comprehensive, application-oriented study of catastrophic forgetting in DNNs

Benedikt Pfülb, Alexander Gepperth · arXiv (Cornell University) · 2019 · 58 citations · Full text

Data Augmentation, Cf Behavior, Engineering +13

Predicting Network Flow Characteristics Using Deep Learning and Real-World Network Traffic

Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger et al. · IEEE Transactions on Network and Service Management · 2020 · 52 citations · Full text

Convolutional Neural Network, Internet Traffic Analysis, Engineering +19

Flow-based Throughput Prediction using Deep Learning and Real-World Network Traffic

Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger et al. · 2019 · 21 citations

Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data

Alexander Gepperth, Benedikt Pfülb · Neural Processing Letters · 2021 · 17 citations · Full text

Mixture Distribution, Engineering, Machine Learning +14